Evaluating the Influence of Rain Event Characteristics on Rainfall Interception by Urban Trees Using Multiple Correspondence Analysis

Zabret, Katarina; Šraj, Mojca

doi:10.3390/w11122659

Cited by 20 publications

(8 citation statements)

References 53 publications

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“…CA could facilitate the visualization of multiple features from reviewed studies in one figure through a display of a few dimensions. This method has been widely used in social sciences [66] and is now increasingly adopted in urban ecology [67,68], using novel data visualization methods to translate the evidence into a vital message for policymakers [69,70].…”

Section: Visualizing the Synthesis Analysis With Correspondence Analysismentioning

confidence: 99%

Literature Review Reveals a Global Access Inequity to Urban Green Spaces

et al. 2022

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Differences in the accessibility to urban resources between different racial and socioeconomic groups have exerted pressure on effective planning and management for sustainable city development. However, few studies have examined the multiple factors that may influence the mitigation of urban green spaces (UGS) inequity. This study reports the results of a systematic mapping of access inequity research through correspondence analysis (CA) to reveal critical trends, knowledge gaps, and clusters based on a sample of 49 empirical studies screened from 563 selected papers. Our findings suggest that although the scale of cities with UGS access inequity varies between countries, large cities (more than 1,000,000 population), especially in low- and middle-income countries (LMICs), are particularly affected. Moreover, the number of cities in which high socioeconomic status (high-SES) groups (e.g., young, rich, or employed) are at an advantage concerning access to UGS is substantially higher than the number of cities showing better accessibility for low-SES groups. Across the reviewed papers, analyses on mitigating interventions are sparse, and among the few studies that touch upon this, we found different central issues in local mitigating strategies between high-income countries (HICs) and LMICs. An explanatory framework is offered, explaining the interaction between UGS access inequity and local mitigating measures.

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Section: Visualizing the Synthesis Analysis With Correspondence Analysismentioning

confidence: 99%

Literature Review Reveals a Global Access Inequity to Urban Green Spaces

et al. 2022

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“…The components of rainfall partitioning have been measured at the study plot since the beginning of 2014 (Zabret and Šraj, 2021;Zabret et al, 2018). Measurements of throughfall and stemflow were performed under both groups of trees, while rainfall in the open was measured on the clearing at the study plot and at the nearby rooftop (Zabret, 2013;Zabret and Šraj 2019a;Zabret and Šraj, 2021). Values of other meteorological characteristics (wind speed and direction, air temperature and humidity) were obtained from the Ljubljana Bežigrad meteorological station (ARSO, 2020), which is because of its location representative for the whole Ljubljana basin (Nadbath, 2008).…”

Section: Measurementsmentioning

confidence: 99%

“…As characteristics of some tree species (e.g., deciduous trees) are substantially influenced by the phenoseasons (presence and absence of leaves in the tree canopy), the rainfall partitioning in leafed and leafless period has also been frequently studied, mainly in relation to the meteorological conditions (Brasil et al, 2020;Levia and Germer, 2015;Mużyło et al, 2012;Su et al, 2019;Zabret et al, 2018). Meteorological characteristics on the contrary explain the characteristics of rainfall events, for example the rainfall amount, duration and intensity, air temperature and humidity, vapour pressure deficit and wind conditions (Andre et al, 2008;Staelens et al, 2008;Zabret and Šraj, 2019a). Although meteorological conditions are significantly associated with dry and wet periods, which influence the hydrological cycle, the influence of these two water-related conditions has been so far overlooked in the analysis of rainfall interception.…”

Section: Introductionmentioning

confidence: 99%

Relation of influencing variables and weather conditions on rainfall partitioning by birch and pine trees

Zabret

Šraj

2021

Journal of Hydrology and Hydromechanics

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General weather conditions may have a strong influence on the individual elements of the hydrological cycle, an important part of which is rainfall interception. The influence of general weather conditions on this process was analysed, evaluating separately the influence of various variables on throughfall, stemflow, and rainfall interception for a wet (2014), a dry (2015), and an average (2016) year. The analysed data were measured for the case of birch and pine trees at a study site in the city of Ljubljana, Slovenia. The relationship between the components of rainfall partitioning and the influential variables for the selected years was estimated using two statistical models, namely boosted regression trees and random forest. The results of both implemented models complemented each other well, as both indicated the rainfall amount and the number of raindrops as the most influential variables. During the wet year 2014 rainfall duration seems to play an important role, correlating with the previously observed influence of the variables during the wetter leafless period. Similarly, during the dry year 2015, rainfall intensity had a significant influence on rainfall partitioning by the birch tree, again corresponding to the influences observed during the drier leafed period.

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“…Canopy interception is closely related to rainfall patterns (Grunicke et al, 2020; Zhang et al, 2022). Precipitation can significantly influence canopy interception, and studies suggested that rainfall amount, as the most critical variable, dominates the rainfall redistribution by the canopy (Staelens et al, 2008; Yu et al, 2022; Zabret & Sraj, 2019). Different combinations of rainfall magnitude, intensity, and duration often have distinct effects on the interception process (Li et al, 2016; Panahandeh et al, 2022); for example, short‐duration, and high‐intensity rainfall results in interception loss than low‐intensity and long‐duration rainfall, and if rainfall event is discontinued, there will also be higher interception in the short term (Crockford & Richardson, 2000).…”

Section: Introductionmentioning

confidence: 99%

Modelling rainfall interception losses of three plantations in the Loess Plateau

Wei,

Song,

et al. 2024

Hydrological Processes

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The forest canopy affects the water entering the forest ecosystem by intercepting rainfall. This is especially pertinent in forests that depend on rainfall for their ecological water needs, quantifying and simulating interception losses provide critical insights into their ecological hydrological processes. In the semi‐arid areas of the Loess Plateau, afforestation has become an effective ecological restoration measure. However, the rainfall interception process of these plantations is still unclear. To quantify and model the canopy interception of these plantations, we conducted a two‐year rainfall redistribution measurement experiment in three typical plantations, including a deciduous broadleaf plantation (Robinia pseudoacacia) and two evergreen coniferous plantations (Platycladus orientalis and Pinus tabuliformis). Based on this, the revised Gash model was used to simulate their interception losses, and the model applicability across varying rainfall types was further compared and verified. The experiment clarified the rainfall redistribution in the three plantations, and the proportions of throughfall to gross rainfall in Robinia pseudoacacia, Platycladus orientalis, and Pinus tabuliformis were 84.8%, 70.4%, and 75.6%; corresponding, the stemflow proportions were 2.0%, 2.2%, and 1.8%; the interception losses were 13.2%, 27.4%, and 22.6%, respectively. The dominant rainfall pattern during the experiment was characterized by low‐amounts, moderate‐intensity, and short‐duration, during which the highest interception proportions across the three plantations were observed. We used the Penman‐Monteith equation and the regression method, respectively, to estimate the canopy average evaporation rate of the revised Gash model, finding that the latter provides a closer match to the measured cumulative interception (NSE >0.7). When simulating interception under the three rainfall patterns, the model with the regression method better simulated the cumulative interception and event‐scale interception for Platycladus orientalis and Pinus tabuliformis plantations under the dominant rainfall pattern. The results contribute valuable information to assess the impact of forest rainfall interception on regional hydrologic processes.

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Evaluating the Influence of Rain Event Characteristics on Rainfall Interception by Urban Trees Using Multiple Correspondence Analysis

Cited by 20 publications

References 53 publications

Literature Review Reveals a Global Access Inequity to Urban Green Spaces

Literature Review Reveals a Global Access Inequity to Urban Green Spaces

Relation of influencing variables and weather conditions on rainfall partitioning by birch and pine trees

Modelling rainfall interception losses of three plantations in the Loess Plateau

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